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Offer summary
(Summary generated by AI based on the full job description)
The project involves building scalable Data Hubs supporting analytics and generative AI use cases. Key technologies include Python, SQL, Azure Data Factory, ADLS, Synapse, Databricks, Apache Spark and streaming tools like Azure Stream Analytics. Responsibilities cover architecture design, technical leadership, ETL optimization, and CI/CD automation. The role also includes mentoring, ensuring data quality, and compliance with security standards.
Senior Data Engineer – Common Data Layer/Data Hubs/GenAI
Company: COGNIZANT
from: 11 June 2026
to: 11 July 2026
salary not specifiedB2B contract (full-time)
Offer parameters
level:senior
working mode:remote
Warszawa, Wola
Requirements
Expected technologies
Python
SQL
Azure Data Factory
ADLS
Azure SQL
Synapse
Apache Spark
Terraform
Kubernetes
Docker
Our requirements
- Programming – Advanced proficiency in Python and SQL for data engineering.
- Cloud & Big Data – Strong experience with Azure Data Factory, ADLS, Azure SQL, Synapse.
- Databricks & Spark – Deep expertise in Databricks (primary tool) and Apache Spark for scalable data processing.
- Data Architecture – Proven ability to design enterprise-scale data platforms, ensuring scalability, security, and efficiency.
- Streaming & Real-Time – Experience with real-time data processing, using Azure Stream Analytics, Event Hubs, or similar tools.
- Automation & DevOps – Strong knowledge of CI/CD, Terraform, Kubernetes/AKS, Docker for infrastructure automation.
- Data Governance – Experience ensuring data security, lineage, and compliance with industry standards.
- Leadership & Mentoring – Ability to guide, mentor, and set technical direction for data engineering teams.
- Documentation & Communication – Strong ability to create clear, structured technical documentation and communicate complex topics effectively.
- Language Skills – Proficient in English (spoken and written), minimum B2 level, Polish - B2.
Your responsibilities
- Data Hub Architecture – Design scalable, efficient, and reusable Data Hub architectures for integrating structured and unstructured data from multiple sources.
- Technical Leadership – Define standards, best practices, and design patterns, ensuring consistency across implementations.
- Mentoring & Knowledge Sharing – Guide and mentor other data engineers, providing technical direction and code reviews.
- Data Pipeline Optimization – Develop and optimize batch and real-time data processing workflows.
- Quality & Monitoring – Implement data validation, anomaly detection, and automated monitoring, ensuring high data reliability.
- Automation & CI/CD – Drive automation in data workflows, ensuring smooth deployment through DevOps pipelines.
- Collaboration & Strategy – Work closely with architects, AI engineers, and business teams to align data solutions with enterprise goals.
- Security & Compliance – Ensure that data solutions meet governance, security, and regulatory requirements.
- Documentation & Knowledge Management – Maintain and promote high-quality technical documentation for data models, pipelines, and best practices.
About the project
As a Senior Data Engineer, you will lead the development of scalable Data Hubs, enabling analytical, reporting, operational, and Generative AI use cases. This role involves defining standards, designing architecture patterns, and guiding the engineering team in implementing best practices. You will play a key role in shaping the data strategy, mentoring engineers, and ensuring the robustness and efficiency of data solutions.
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- dental care
- cafeteria benefits
COGNIZANT
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
This is how we work
Senior Data Engineer – Common Data Layer/Data Hubs/GenAI
I apply to:
COGNIZANT
Warszawa, Wola
Need more information?
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